AlphaFold 3 predicts the structure and interactions of life's molecules
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Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#2The article was heavy on the free research aspect, but light on the commercial application.
I'm curious about the business strategy. Does Google intend to license out tools, partner, or consult for commercial partners?
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#3s/predicts/attempts to predict
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#4From: https://www.nature.com/articles/d41586-024-01383-z
>Unlike RoseTTAFold and AlphaFold2, scientists will not be able to run their own version of AlphaFold3, nor will the code underlying AlphaFold3 or other information obtained after training the model be made public. Instead, researchers will have access to an ‘AlphaFold3 server’, on which they can input their protein sequence of choice, alongside a selection of accessory molecules. [. . .] Scientists are currently restricted to 10 predictions per day, and it is not possible to obtain structures of proteins bound to possible drugs.
This is unfortunate. I wonder how long until David Baker's lab upgrades RoseTTAFold to catch up.
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#5> What is different about the new AlphaFold3 model compared to AlphaFold2?
> AlphaFold3 can predict many biomolecules in addition to proteins. AlphaFold2 predicts structures of proteins and protein-protein complexes. AlphaFold3 can generate predictions containing proteins, DNA, RNA, ions,ligands, and chemical modifications. The new model also improves the protein complex modelling accuracy. Please refer to our paper for more information on performance improvements.
AlphaFold 2 generally produces looping “ribbon-like” predictions for disordered regions. AlphaFold3 also does this, but will occasionally output segments with secondary structure within disordered regions instead, mostly spurious alpha helices with very low confidence (pLDDT) and inconsistent position across predictions.
So the criticism towards AlphaFold 2 will likely still apply? For example, it’s more accurate for predicting structures similar to existing ones, and fails at novel patterns?
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#6The article was heavy on the free research aspect, but light on the commercial application. I'm curious about the business strategy. Does Google intend to license out tools, partner, or consult for commercial partners?
as soon as google tries to think commercially this will shut down so the longer it stays pure research the better. google is bad with productization.
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#7From: https://www.nature.com/articles/d41586-024-01383-z >Unlike RoseTTAFold and AlphaFold2, scientists will not be able to run their own version of AlphaFold3, nor will the code underlying AlphaFold3 or other information obtained after training the model be made public. Instead, researchers will have access to an ‘AlphaFold3 server’, on which they can input their protein sequence of choice, alongside a selection of…
The AI call is rolling fast, I see similarities with cryptography in the 90s.
I have a history to tell for the record, back in the 90s we developed a home banking for Palm (with a modem), it was impossible to perform RSA because of the speed so I contacted the CEO of Certicom which was the unique elliptic curve cryptography implementation at that time. Fast forward and ECC is everywhere.
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#8s/predicts/attempts to predict
The title OP gave accurately reflects the title of Google's blog post. Title should not be editorialized.
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#9s/predicts/attempts to predict
Syntax error
Re: AlphaFold 3 predicts the structure and interactions of life's molecules
#10From: https://www.nature.com/articles/d41586-024-01383-z >Unlike RoseTTAFold and AlphaFold2, scientists will not be able to run their own version of AlphaFold3, nor will the code underlying AlphaFold3 or other information obtained after training the model be made public. Instead, researchers will have access to an ‘AlphaFold3 server’, on which they can input their protein sequence of choice, alongside a selection of…
That sucks a bit. I was just wondering why they are touting that 3rd party company in their own blog post, who commercialise research tools, as well. Maybe there are some corporate agreements with them that prevents them from opening the system...
Imagine the goodwill for humanity for releasing these pure research systems for free. I just have a hard time understanding how you can motivate to keep it closed. Let's hope it will be replicated by someone who doesn't have to hide behind the "responsible AI" curtain as it seems they are now.
Are they really thinking that someone who needs to predict 11 structures per day are more likely to be a nefarious evil protein guy than someone who predicts 10 structures a day? Was AlphaFold-2 (that was open-sourced) used by evil researchers?